Lo Edisanter, Fountain Augustus W, Ingram John
Department of Mathematical Sciences, Susquehanna University, Selinsgrove, Pennsylvania 17870, USA.
Appl Spectrosc. 2008 Nov;62(11):1189-99. doi: 10.1366/000370208786401626.
This paper describes a statistically based efficient algorithm for the laboratory spectral calibration of a low-resolution terrestrial hyperspectral imaging camera operating in the visible range. Didymium oxide is used as a wavelength standard. The observed periodic spatial distortion in the wavelength abscissa of the hypercube is removed automatically through statistical modeling and the calibration of the wavelength abscissa is determined using a numerical method. The performance and cost of this algorithm in removing the spatial distortion are assessed quantitatively.